ApplyResultInference

class pandas::ApplyResultInference

pandas C++ class.

Example

#include <pandas/pandas.h>
using namespace pandas;

// Use ApplyResultInference
ApplyResultInference obj;
// ... operations ...

Other Methods

Signature	Return Type	Location	Example
static ApplyResultKind classify(const ProbeDescriptor& probe, const std::string& source_dtype)	static ApplyResultKind	pd_apply_result.h:519	View
static void finalize_numeric(SeriesT& res, const std::string& source_dtype, bool all_results_int)	void	pd_apply_result.h:531
static void observe_probe(ScalarKindHistogram& hist, const ProbeDescriptor& d)	static void	pd_apply_result.h:401	View
static std::string pandas_apply_widen_narrow(const std::string& a, const std::string& b)	static std::string	pd_apply_result.h:347

Code Examples

The following examples are extracted from the test suite.

classify (pd_test_5_all.cpp:126920)

// --- f_test_is_numeric_extension_dtypes_2.cpp ---

namespace f_test_is_numeric_extension_dtypes_2_ns {

static bool inline_is_numeric_two_term(const std::string& dt) {
    return (dt.find("float") != std::string::npos ||
            dt.find("int")   != std::string::npos);
}

static void classify(const std::string& dt,
                     bool expect_two_term,
                     bool expect_central,
                     const std::string& label_prefix,
                     int& local_fail) {
    bool two_term = inline_is_numeric_two_term(dt);
    bool central  = pandas::DataFrame::is_numeric_dtype(dt);
    pandas_tests::check(two_term == expect_two_term,
          label_prefix + ".two_term_classifies_as_expected (dt=" + dt + ")",
          local_fail);
    pandas_tests::check(central == expect_central,

observe_probe (pd_test_5_all.cpp:97995)

                                   std::string("c")});
    // Match pandas' Series<string> short dtype convention.
    s.set_dtype_override("object");
    return s;
}

static Cb cb_int(Hist& hist) {
    return [&hist](const pandas::MapCellInput& in) {
        pandas::ApplyResultInference::ProbeDescriptor d;
        d.is_int = true;
        pandas::ApplyResultInference::observe_probe(hist, d);
        (void)in;
        return pandas::ApplyCellResult::of_int(42);
    };
}

static Cb cb_bool(Hist& hist) {
    return [&hist](const pandas::MapCellInput& in) {
        pandas::ApplyResultInference::ProbeDescriptor d;
        d.is_bool = true;
        pandas::ApplyResultInference::observe_probe(hist, d);